In this paper we propose a lightweight CNN architecture for 1-shot image segmentation. The model is based on dilated residual networks[1]} and uses dilated convolutions in place of downsampling. Unlike the original DRN model we use a sub-pixel convolution in place of deconvolution for upsampling the final feature maps.
